Responsibilities:

• Collaborate with Product, Design and Engineering teams to identify and develop an understanding of the Data Science requirements.
• Research and propose innovative statistical/ML models to address the requirements.
• Target and formulate various problems in terms of key business metrics and measure the impact of the built ML techniques.
• Analyse data for trends and patterns, and Interpret data with a clear objective in mind
• Develop, deploy and maintain the ML/Deep Learning models in production or build the regular Cadence to facilitate the same
• Work closely with the Engineering team to strategies and execute the development of Data Science projects.
• Communicate progress/findings to relevant stakeholders.
• Assist in defining short and long term roadmaps that help growth and demonstrate impact at the organisational level.
• Upto date knowledge in the field of technical and industry developments.

Requirements:

• 4-8 years of experience in with Bachelor's/Master's degree in Statistics, Applied mathematics, or related discipline
• Effective communication of DS requirements and dissemination of right knowledge to relevant stakeholders.
• Experience with Spark, Flask, SQL, Python, Cloud platform.
• Experience in Machine Learning, Deep Learning and Engineering aspects of ML model deployment.
• Proficiency with data analysis, mathematics/probability, and statistical analysis.
• Experience in predictive modelling exercise.
• Comfort working in a dynamic, fast paced, hands-on and manage ideation and execution of more than one ongoing concurrent projects.